R&D Technologies
State-of-the-art technologies
built for industry.
We research, develop, and deploy advanced sensing, vision, and AI technologies — purpose-built for real-world operational requirements across manufacturing, construction, agriculture, education, and beyond.
Low-Light Facial Detection
Accurate identity verification — even in total darkness.
Our proprietary low-light facial detection system operates at near-zero lux environments using IR fusion and neural super-resolution. Unlike standard systems that fail below 50 lux, ours maintains 98%+ accuracy at 0.1 lux — making it deployable in warehouses, campuses, construction sites, and outdoor facilities regardless of lighting conditions.
Applications
- Access control in low-light facilities
- Night-time site security and workforce tracking
- Campus and dormitory entry management
- Cold storage and warehouse personnel monitoring
- After-hours attendance for shift workers
Technical Specifications
Min operating lux
0.1 lux
Detection accuracy
98.4%
Processing speed
<80ms
False positive rate
<0.01%
Face database size
1M+ entries
Deployment
Edge / On-premise
Geofencing & Location Intelligence
Precision location logic for assets, people, and compliance.
Our geofencing engine supports sub-meter precision using multi-source fusion — GPS, BLE beacons, Wi-Fi RTT, and cellular triangulation. Configure dynamic zones, get real-time entry/exit events, and build location-aware workflows for workforce management, asset tracking, and regulatory compliance — all without proprietary hardware lock-in.
Applications
- Worker entry / exit tracking on construction sites
- Automated attendance for field teams
- Fleet zone compliance and unauthorized movement alerts
- Agricultural zone management and irrigation triggers
- Visitor and contractor movement compliance
Technical Specifications
Zone precision
±0.5m (indoor)
Outdoor precision
±1–3m (GPS)
Event latency
<200ms
Max concurrent zones
Unlimited
Location sources
GPS, BLE, Wi-Fi, Cell
SDK support
iOS, Android, Web
LiDAR & 3D Mapping
Real-world spatial intelligence — centimeter-accurate.
We integrate LiDAR sensing with our proprietary point cloud processing pipeline to generate high-fidelity 3D maps of physical environments. From construction site progress measurement to warehouse layout optimization and agricultural field mapping, our system processes millions of points per second into actionable spatial data — delivered as live dashboards or integrated directly into your operational workflows.
Applications
- Construction site progress scanning and as-built verification
- Warehouse 3D layout mapping and optimization
- Agricultural terrain mapping and field planning
- Facility inspection and structural monitoring
- Indoor navigation for autonomous material handling
Technical Specifications
Point cloud density
1M+ pts/sec
Range accuracy
±2cm at 100m
3D map resolution
1cm voxel
Processing time
Real-time / near-real
Output formats
PLY, LAS, OBJ, IFC
Integration
BIM, GIS, custom ERP
Edge AI & On-Device Inference
AI that runs where the data is — without sending it anywhere.
Edge AI deployment means your models run on local hardware — no cloud dependency, no data egress, no latency waiting on a remote API. We build, compress, and deploy custom AI models directly onto edge devices: industrial cameras, Raspberry Pi-class SBCs, NVIDIA Jetson modules, and custom embedded hardware. Models process data in milliseconds, on-site, with full data sovereignty.
Applications
- On-device defect detection on production lines
- Real-time facial and object recognition at entry points
- Predictive maintenance on machinery without cloud dependency
- Agricultural crop health assessment on field devices
- Autonomous quality inspection in offline environments
<15ms
Latency
No cloud
Required
INT8
Quantized
Technical Specifications
Inference latency
<15ms on-device
Model compression
Up to 10× with INT8
Supported hardware
Jetson, RPi, MCU, FPGA
Offline operation
Full — no cloud needed
Model formats
ONNX, TFLite, TensorRT
Update method
OTA / delta updates
Computer Vision Systems
Eyes on your operations — 24/7, without human error.
Our computer vision platform handles detection, tracking, classification, and measurement across diverse industrial contexts. From PPE compliance monitoring on construction sites to product defect detection on factory lines and crowd density analysis on campuses — we build vision systems that integrate directly into your existing camera infrastructure and operational workflows.
Applications
- PPE compliance monitoring (helmets, vests, gloves)
- Product defect detection on manufacturing lines
- Crowd and occupancy monitoring for facilities
- Vehicle counting and parking management
- Unauthorized zone intrusion detection
Technical Specifications
Detection accuracy
99.1% (controlled)
Video input
RTSP, ONVIF, USB, IP
Concurrent streams
Up to 64 per node
Latency
<50ms detection
Lighting conditions
Day, night, IR
Alert delivery
SMS, Email, Webhook
Predictive IoT Sensing
Know what's about to fail — before it does.
We deploy multi-sensor IoT networks — vibration, temperature, humidity, power consumption, flow rate — and layer our predictive models on top to detect degradation patterns before they become failures. For manufacturing, agriculture, and logistics, this means planned maintenance rather than emergency downtime, with dashboards that give operations teams advance warning days or weeks ahead.
Applications
- Predictive maintenance for industrial machinery
- Cold chain temperature monitoring and alerting
- Agricultural soil moisture and microclimate sensing
- Generator and UPS health monitoring
- Structural vibration monitoring for buildings and bridges
Technical Specifications
Sensor types
Vibration, Temp, Humidity, Power, Flow
Sampling rate
Up to 10kHz
Prediction horizon
24h – 30 days
Connectivity
LoRa, NB-IoT, MQTT, Wi-Fi
Battery life
2–5 years (LoRa nodes)
Data storage
Edge + Cloud hybrid
Work with us
Need a custom technology built for your use case?
Our R&D team builds bespoke sensing, vision, and AI systems for specific operational challenges. Tell us what you're trying to solve.